Specifications Compared
| Spec | RTX-5880-ADA | V100 |
|---|---|---|
| TDP | 285W | 300W |
| VRAM | 48 GB | 16-32 GB |
| CUDA Cores | 14,080 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Ada Lovelace | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| Tensor Cores | 440 | 640 |
| FP16 Performance | 69.7 TFLOPS | 125 TFLOPS |
| FP32 Performance | 69.7 TFLOPS | 15.7 TFLOPS |
| INT8 Performance | 1,115 TOPS | |
| Memory Bandwidth | 960 GB/s | 900 GB/s |
Performance Analysis
FP16 and FP32 disparities shape real-world applicability: RTX 5880 Ada's identical 69.7 TFLOPS ratings support seamless transitions between half-precision training and single-precision inference, whereas V100's 125 TFLOPS FP16 dwarfs its 15.7 TFLOPS FP32, favoring early mixed-precision setups but bottlenecking FP32-dominant tasks like model optimization. In training, V100 excelled in 2017-era tensor operations, yet modern frameworks exploit Ada's equilibrium for faster iterations on large language models. Inference benefits from Ada's higher FP32 for latency-sensitive serving. Memory configurations dictate batch sizes: 48 GB GDDR6 on RTX 5880 Ada accommodates models exceeding V100's 32 GB HBM2 threshold, enabling 50 percent larger batches without splitting. Bandwidth edges at 960 GB/s versus 900 GB/s minimize data starvation in memory-bound workloads, though HBM2's lower latency aids V100 in specific HPC patterns.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Tesla V100 32GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
 Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the RTX 5880 Ada
RTX 5880 Ada suits contemporary AI pipelines requiring expansive memory: its 48 GB VRAM handles LLMs or diffusion models beyond V100's 32 GB limit. Balanced 69.7 TFLOPS FP32 outperforms V100's 15.7 TFLOPS in fine-tuning and simulation tasks. Lower 285W TDP enhances density in PCIe racks.
When to Choose the Tesla V100 32GB
NVIDIA Tesla V100 32GB fits budget-driven or legacy environments: cloud pricing starts at $0.29 per hour with 44 offers averaging $1.01 per hour, unavailable for RTX 5880 Ada. Superior 125 TFLOPS FP16 accelerates FP16 inference; NVLink interconnect scales multi-GPU clusters unlike Ada's PCIe-only design.
Use Cases
RTX 5880 Ada's 48 GB VRAM supports larger models than V100's 32 GB. Its 69.7 TFLOPS FP32 matches training demands better than V100's 15.7 TFLOPS.
48 GB GDDR6 enables bigger batch sizes on RTX 5880 Ada versus 32 GB HBM2. 960 GB/s bandwidth sustains throughput over V100's 900 GB/s.
Balanced 69.7 TFLOPS FP32 on RTX 5880 Ada accelerates optimization unlike V100's 15.7 TFLOPS FP32. Higher VRAM fits parameter-heavy adapters.
RTX 5880 Ada's 48 GB VRAM processes high-resolution generations without V100's 32 GB constraints. Ada architecture optimizes creative pipelines.
V100's 125 TFLOPS FP16 and NVLink suit HPC simulations. Lower $0.29 per hour pricing aids large-scale clusters.
Frequently Asked Questions
Which GPU has more VRAM?▾
RTX 5880 Ada provides 48 GB GDDR6, exceeding V100 32GB's 32 GB HBM2 by 50 percent. This capacity supports larger AI models and batch sizes on Ada. V100 suits smaller datasets.
What are the FP32 performance differences?▾
RTX 5880 Ada delivers 69.7 TFLOPS FP32, over four times V100's 15.7 TFLOPS. Ada excels in single-precision tasks like simulations. V100 prioritizes FP16 at 125 TFLOPS.
Is V100 cheaper in the cloud?▾
V100 32GB pricing starts at $0.29 per hour, averaging $1.01 per hour across 44 offers. RTX 5880 Ada has no live offers. V100 offers immediate cost savings.
How do memory bandwidths compare?▾
RTX 5880 Ada achieves 960 GB/s with GDDR6, slightly above V100's 900 GB/s HBM2. Ada's edge aids data-heavy inference. HBM2 provides lower latency for V100.
What are the power requirements?▾
RTX 5880 Ada consumes 285W TDP, lower than V100's 300W. Ada improves efficiency in dense setups. Both fit standard racks.
Which supports multi-GPU better?▾
V100 includes NVLink and PCIe 3.0 for scaling. RTX 5880 Ada relies on PCIe alone. V100 favors clustered workloads.
Which is cheaper to rent, the RTX 5880 Ada or the V100?▾
Cloud rental prices for both the RTX 5880 Ada and V100 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the RTX 5880 Ada have compared to the V100?▾
The RTX 5880 Ada has 48 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX 5880 Ada and V100 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the RTX 5880 Ada and the V100?▾
The RTX 5880 Ada uses the Ada Lovelace architecture (2024) while the V100 uses Volta (2017). The V100 delivers 1.8x the FP16 throughput and 1.1x the memory bandwidth of the RTX 5880 Ada.